Data Science “as a Service”

Leveraging a Data Science ‘as a Service’ allows the benefits of Machine Learning to be explored and the business value to be determined at the fraction of the cost of a full-time internal Data Science Team.

We have seen an increasing trend of companies wanting to explore the use of AI and Machine Learning but being unable to commit the level of funding and resources to build up a dedicated data science team and related infrastructure, tools and experience to invest in developing an AI capability. We see this resistance partly due to the uncertainty around the business value of use-cases they wish to explore.

Maybe you are looking to increase your innovation activities and have a few AI related projects you want to start but your team are focused on other projects? Maybe your development team want to explore some ML use-cases but don’t have the time and capacity to do so.

We can help – to explore some targeted use-cases allowing you to see the realised benefit from these first ML implementations before allocated more resources to this technology.

Leveraging a Data Science ‘as a Service’ allows the benefits of Machine Learning to be explored and the business value to be determined at the fraction of the cost of building out a full-time internal Data Science Team.

We have launched our “Wise Owl” service, and looking to find a few additional clients that would be interested to sign up to this service. Our flexible service allows you to gradually build up the focus on ML use-cases as the initial benefits become realised. Once you are ready to commit resources to your own initial Data Science team, we can assist with the transition including skills training, to ensure a smooth handover.

If you need additional support, including AI/ML Roadmap, Use-case prioritisation, and AI Innovation & Strategy Creation, we can add these additional services into the mix too.

Augmenting your Team

Our Data Science as a Service provides team augmentation as required, giving you a truly flexible workforce you can increase and decrease as your business priorities change

Design & Architecture

Our Data Science as a Service provides the knowledge and experience to help design and architect the correct AI platform for your needs. We will also recommend the tools and frameworks that support the use-cases best.

Support & Monitoring

We can provide the tools and approaches for AI model support and production monitoring

Skills & Training

Our Data Science as a Service provides additional skills and training opportunities to allow skills transfer to your own team over time. Our approach is always to train up internal staff.

Platform

Wisdom Works has its own AI Platform, that would allow us to get up and running faster than using other infrastructure. We can provide this as part of our service 

Strategy & Use-Case Prioritisatione-Cases

We can also assist with more broader requirements such as defining your AI Strategy and helping to prioritise AI U

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